Developing Digital Phynotyping and Patient Similarity Measures in CRIS Using Machine Learning and Text Mining

Anxiety disorders and depression are amongst the most common mental health conditions. Patient profiles, treatment interventions and associated outcomes can vary greatly. This project aims to understand the multi-faceted nature of these conditions by applying novel machine learning and natural language processing techniques to the electronic health record of patients across both physical and mental health at scale.